


from __future__ import annotations

__UpperCamelCase     		=							tuple[int, int, int]
__UpperCamelCase     		=							tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
__UpperCamelCase     		=							'ABCDEFGHIJKLMNOPQRSTUVWXYZ'

# -------------------------- default selection --------------------------
# rotors --------------------------
__UpperCamelCase     		=							'EGZWVONAHDCLFQMSIPJBYUKXTR'
__UpperCamelCase     		=							'FOBHMDKEXQNRAULPGSJVTYICZW'
__UpperCamelCase     		=							'ZJXESIUQLHAVRMDOYGTNFWPBKC'
# reflector --------------------------
__UpperCamelCase     		=							{
    'A': 'N',
    'N': 'A',
    'B': 'O',
    'O': 'B',
    'C': 'P',
    'P': 'C',
    'D': 'Q',
    'Q': 'D',
    'E': 'R',
    'R': 'E',
    'F': 'S',
    'S': 'F',
    'G': 'T',
    'T': 'G',
    'H': 'U',
    'U': 'H',
    'I': 'V',
    'V': 'I',
    'J': 'W',
    'W': 'J',
    'K': 'X',
    'X': 'K',
    'L': 'Y',
    'Y': 'L',
    'M': 'Z',
    'Z': 'M',
}

# -------------------------- extra rotors --------------------------
__UpperCamelCase     		=							'RMDJXFUWGISLHVTCQNKYPBEZOA'
__UpperCamelCase     		=							'SGLCPQWZHKXAREONTFBVIYJUDM'
__UpperCamelCase     		=							'HVSICLTYKQUBXDWAJZOMFGPREN'
__UpperCamelCase     		=							'RZWQHFMVDBKICJLNTUXAGYPSOE'
__UpperCamelCase     		=							'LFKIJODBEGAMQPXVUHYSTCZRWN'
__UpperCamelCase     		=							'KOAEGVDHXPQZMLFTYWJNBRCIUS'
def 							UpperCamelCase_(					_A :RotorPositionT					,  _A :RotorSelectionT					,  _A :str	)->		tuple[RotorPositionT, RotorSelectionT, dict[str, str]]:
			# Checks if there are 3 unique rotors

			if (unique_rotsel := len(set(_A	)	)) < 3:
						UpperCamelCase__       =							F'''Please use 3 unique rotors (not {unique_rotsel})'''
						raise Exception(_A	)

			# Checks if rotor positions are valid
			UpperCamelCase__,   UpperCamelCase__,   UpperCamelCase__       =							rotpos
			if not 0 < rotorposa <= len(_A	):
						UpperCamelCase__       =							F'''First rotor position is not within range of 1..26 ({rotorposa}'''
						raise ValueError(_A	)
			if not 0 < rotorposa <= len(_A	):
						UpperCamelCase__       =							F'''Second rotor position is not within range of 1..26 ({rotorposa})'''
						raise ValueError(_A	)
			if not 0 < rotorposa <= len(_A	):
						UpperCamelCase__       =							F'''Third rotor position is not within range of 1..26 ({rotorposa})'''
						raise ValueError(_A	)

			# Validates string and returns dict
			UpperCamelCase__       =							_plugboard(_A	)

			return rotpos, rotsel, pbdict
def 							UpperCamelCase_(					_A :str	)->		dict[str, str]:

			# tests the input string if it
			# a) is type string
			# b) has even length (so pairs can be made)
			if not isinstance(_A					,  _A	):
						UpperCamelCase__       =							F'''Plugboard setting isn\'t type string ({type(_A	)})'''
						raise TypeError(_A	)
			elif len(_A	) % 2 != 0:
						UpperCamelCase__       =							F'''Odd number of symbols ({len(_A	)})'''
						raise Exception(_A	)
			elif pbstring == "":
						return {}

			pbstring.replace(" "					,  ""	)

			# Checks if all characters are unique
			UpperCamelCase__       =							set()
			for i in pbstring:
						if i not in abc:
									UpperCamelCase__       =							F'''\'{i}\' not in list of symbols'''
									raise Exception(_A	)
						elif i in tmppbl:
									UpperCamelCase__       =							F'''Duplicate symbol ({i})'''
									raise Exception(_A	)
						else:
									tmppbl.add(_A	)
			del tmppbl

			# Created the dictionary
			UpperCamelCase__       =							{}
			for j in range(0					,  len(_A	) - 1					,  2	):
						UpperCamelCase__       =							pbstring[j + 1]
						UpperCamelCase__       =							pbstring[j]

			return pb
def 							UpperCamelCase_(					_A :str					,  _A :RotorPositionT					,  _A :RotorSelectionT = (rotora, rotora, rotora)					,  _A :str = ""					,  )->		str:
			UpperCamelCase__       =							text.upper()
			UpperCamelCase__,   UpperCamelCase__,   UpperCamelCase__       =							_validator(
			    _A					,  _A					,  plugb.upper()	)

			UpperCamelCase__,   UpperCamelCase__,   UpperCamelCase__       =							rotor_position
			UpperCamelCase__,   UpperCamelCase__,   UpperCamelCase__       =							rotor_selection
			rotorposa -= 1
			rotorposa -= 1
			rotorposa -= 1

			UpperCamelCase__       =							[]

			# encryption/decryption process --------------------------
			for symbol in text:
						if symbol in abc:
									# 1st plugboard --------------------------
									if symbol in plugboard:
												UpperCamelCase__       =							plugboard[symbol]

									# rotor ra --------------------------
									UpperCamelCase__       =							abc.index(_A	) + rotorposa
									UpperCamelCase__       =							rotora[index % len(_A	)]

									# rotor rb --------------------------
									UpperCamelCase__       =							abc.index(_A	) + rotorposa
									UpperCamelCase__       =							rotora[index % len(_A	)]

									# rotor rc --------------------------
									UpperCamelCase__       =							abc.index(_A	) + rotorposa
									UpperCamelCase__       =							rotora[index % len(_A	)]

									# reflector --------------------------
									# this is the reason you don't need another machine to decipher

									UpperCamelCase__       =							reflector[symbol]

									# 2nd rotors
									UpperCamelCase__       =							abc[rotora.index(_A	) - rotorposa]
									UpperCamelCase__       =							abc[rotora.index(_A	) - rotorposa]
									UpperCamelCase__       =							abc[rotora.index(_A	) - rotorposa]

									# 2nd plugboard
									if symbol in plugboard:
												UpperCamelCase__       =							plugboard[symbol]

									# moves/resets rotor positions
									rotorposa += 1
									if rotorposa >= len(_A	):
												UpperCamelCase__       =							0
												rotorposa += 1
									if rotorposa >= len(_A	):
												UpperCamelCase__       =							0
												rotorposa += 1
									if rotorposa >= len(_A	):
												UpperCamelCase__       =							0

        # else:
        #    pass
        #    Error could be also raised
        #    raise ValueError(
        #       'Invalid symbol('+repr(symbol)+')')
						result.append(_A	)

			return "".join(_A	)


if __name__ == "__main__":
						__UpperCamelCase     		=							'This is my Python script that emulates the Enigma machine from WWII.'
						__UpperCamelCase     		=							(1, 1, 1)
						__UpperCamelCase     		=							'pictures'
						__UpperCamelCase     		=							(rotora, rotora, rotora)
						__UpperCamelCase     		=							enigma(message, rotor_pos, rotor_sel, pb)

						print('Encrypted message:', en)
						print('Decrypted message:', enigma(en, rotor_pos, rotor_sel, pb))






# limitations under the License.


from typing import Optional, Tuple, Union

import torch

from diffusers import DiffusionPipeline, ImagePipelineOutput







class 							lowerCamelCase__						(				UpperCAmelCase   ):






			"""simple docstring"""






			def __init__(				self   ,    snake_case   ,    snake_case  ):

						'''simple docstring'''


						super().__init__()
						self.register_modules(unet=snake_case   ,    scheduler=snake_case  )







			@torch.no_grad()
			def __call__(				self   ,    snake_case = 1   ,    snake_case = None   ,    snake_case = 50   ,    snake_case = "pil"   ,    snake_case = True   ,    **snake_case   ,    ):

						'''simple docstring'''


						UpperCamelCase__       =							torch.randn(
						    (batch_size, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)   ,    generator=snake_case   ,    )
						UpperCamelCase__       =							image.to(self.device  )

						# set step values
						self.scheduler.set_timesteps(snake_case  )

						for t in self.progress_bar(self.scheduler.timesteps  ):
									# 1. predict noise model_output
									UpperCamelCase__       =							self.unet(snake_case   ,    snake_case  ).sample

									# 2. predict previous mean of image x_t-1 and add variance depending on eta
									# eta corresponds to η in paper and should be between [0, 1]
									# do x_t -> x_t-1
									UpperCamelCase__       =							self.scheduler.step(snake_case   ,    snake_case   ,    snake_case  ).prev_sample

						UpperCamelCase__       =							(image / 2 + 0.5).clamp(0   ,    1  )
						UpperCamelCase__       =							image.cpu().permute(0   ,    2   ,    3   ,    1  ).numpy()
						if output_type == "pil":
									UpperCamelCase__       =							self.numpy_to_pil(snake_case  )

						if not return_dict:
									return (image,), "This is a local test"

						return ImagePipelineOutput(images=snake_case  ), "This is a local test"


